Gene selection using hybrid particle swarm optimization and genetic algorithm-Reference-Cited by-同舟云学术

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Gene selection using hybrid particle swarm optimization and genetic algorithm

Published:2008-01-09 Issue:11 Volume:12 Page:1039-1048
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Li Shutao,Wu Xixian,Tan Mingkui

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-007-0272-x.pdf

Reference29 articles.

1. Almuallim H and Dietterich T (1994). Learning boolean concepts in the presence of many irrelevant features. Artif Intell 69(1–2): 279–305

2. Alon U, Barkai U and Notterman DA et al (1999). Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci 96: 6745–6750

3. Ben-Dor A, Bruhn L and Friedman N et al (2000). Tissue classification with gene expression profiles. J Comput Biol 7: 559–583

4. Cristianini N and Shawe-Taylor J (1999). An introduction to SVM. Cambridge University Press, Cambridge

5. Deng L, Pei J, Ma J et al (2004) A rank sum test method for informative gene discovery. In: Kim W, Kohavi R, Gehrke J et al (eds) Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 410–490

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